A User-based Filtering Recommendation Algorithm for Health Service

被引：0
|
作者：
Wu, Tong [1 ]
Zhang, Runtong [1 ]
机构：
[1] Beijing Jiao Tong Univ, Sch Econ & Management, Beijing 100044, Peoples R China
来源：
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND INNOVATIVE EDUCATION (MSIE) | 2016年 / 60卷
关键词：
context aware; personalized recommendation; user-based collaborative filtering; health service;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Under the mobile environment, the traditional collaborative filtering algorithm can't combine with context information well, which result in the quality of recommendation decline. So this paper proposes an improved algorithm which combined with effective context rates with user-based collaborative filtering. The algorithm specifics to the problem of mobile information service recommendation and is based on context awareness. And use the public datasets from MovieLen to validate the algorithm. The result shows that the improved algorithm is more accurate compared with the traditional collaborative filtering recommendation algorithm and recommendations obtained from the results is in line with user preferences better.
引用
收藏
页码：285 / 289
页数：5
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